result = close > open ? highest(close,10) : lowest(close,10)

hi= highest(close,10)
lo = lowest(close,10)
result = close > open ? hi : lo

study(title="Demo")
myInput = input(2,type="int")

result = myInput == 2 ? highest(close,10) : lowest(close,10)

def fun(i,j):
    return i,j

(a,b) = fun(1,2)
r = fun(1,2)
(c, d) = r
e  = r[0]
f = r[1]

sum = 0
for i in range(0,10,2):
    sum += i
else:
     sum = 20

sum = 0
if close >open:
    sum+=1
elif close == open:
    sum += 2
else :
    sum+= 3

sum = 0
ema1 = ema(close,2)
ema2 = ema(close,9)
ema3 = ema(close,19)
if close >open:
    sum+=ema1
elif close == open:
    sum += ema2
else :
    sum+= ema3

sum = 0
if close >open:
    sum+=ema(close,2)
elif close == open:
    sum += ema(close,9)
else :
    sum+= ema(close,19)

def my_fun(i,j=open):
    return i,j

(x,y) = my_fun(close)
result = my_fun(close,open)
(a,b) = result
m = result[0]
n = result[1]
print(a)
print(m)

# You may fill the background between any two plots with a fill() function:
p1 = plot(open)
p2 = plot(close)
fill(p1, p2, color=color("green",50))

plot(time>timestamp(2020, 7, 19, 09, 30, 15)?2:1)

plot(rma(close, 15))


def my_rma(src, length):
    alpha = length
    sum = 0.0
    sum = na(prev(sum,1)) ? sma(src, length) : (src + (alpha - 1) * nz(prev(sum,1))) / alpha
    return sum
plot(my_rma(close, 15))

a = 0.0 # declare 'a'
a = prev(a,1) # immediately set current value to the same as previous. 'na' in the beginning of history
if high == low # if some condition - change 'a' value to another
    a = low

plot(lowest(close, 15))

plot(highest(close, 15))

plot(mom(close, 15))

plot(cci(close, 15))

plot(dev(close, 10))


def my_dev(source, length):
    mean = sma(source, length)
    sum = 0.0
    for i in range(0, length - 1):
        val = prev(source,i)
        sum = sum + abs(val - mean)
    dev = sum/length
    return dev
plot(my_dev(close, 10))

plot(lowestbars(close, 15))

plot(highestbars(close, 15))

plot(variance(close, 15))

# but less efficient
def my_variance(x, len):
    sm = sma(x, len)
    return sma(x*x,len) - sm*sm

plot(my_variance(close, 15))

plot(vwma(close, 15))

# but less efficient
def my_vwma(x, y):
    return sma(x * volume, y) / sma(volume, y)
plot(my_vwma(close, 15))

plot(sma(close, 15))

#less efficient
def my_sma(x, y):
    sum = 0.0
    for i in range(0, y - 1):
        sum = sum + prev(x,i) / y
    return sum
plot(my_sma(close, 15))

plot(ema(close, 15))

# less efficient
def my_ema(src, length):
    alpha = 2 / (length + 1)
    sum = 0.0
    sum = na(prev(sum,1)) ? sma(src, length) : alpha * src + (1 - alpha) * nz(prev(sum,1))
    return sum
plot(my_ema(close,15))

plot(wma(close, 15))

# less efficient
def my_wma(x, y):
    norm = 0.0
    sum = 0.0
    for i in range(0, y - 1):
        weight = (y - i) * y
        norm = norm + weight
        sum = sum + prev(x,i) * weight
    return sum / norm
plot(my_wma(close, 15))

plot(rsi(close, 7))
# less efficient
def my_rsi(x, y):
    u = max(x - prev(x,1), 0) # upward change
    d = max(prev(x,1) - x, 0) # downward change
    rs = rma(u, y) / rma(d, y)
    res = 100 - 100 / (1 + rs)
    return res

plot(my_rsi(close, 7))

plot(stdev(close, 5))


def isZero(val, eps):
    return abs(val) <= eps

def SUM(fst, snd):
    EPS = 0.0000000001
    res = fst + snd
    result = 0
    if isZero(res, EPS):
        result = 0
    else:
        if not isZero(res, 0.00001):
            result = res
        else:
            result = 15
    return result
def my_stdev(src, length):
    avg = sma(src, length)
    sumOfSquareDeviations = 0.0
    for i in range(0, length - 1):
        sum = SUM(prev(src,i), -avg)
        sumOfSquareDeviations = sumOfSquareDeviations + sum * sum

    stdev = sqrt(sumOfSquareDeviations / length)
    return stdev
plot(my_stdev(close, 5))

plot(sum(close,10))

src = input(defval=close, type="source", title="Source")
length = input(defval=9, type="int", title="Length")
hmaBuildIn = hma(src, length)
plot(hmaBuildIn, title="Hull MA", color="#674EA7")

plot(close-open,color=color("red",60))

plot(cum(close))

result = exp(100)
print(result)   # result = 22026.465794806718

result = sqrt(100)
print(result)   # result = 10

result = ceil(100.2)
print(result)   # result = 100

result = ceil(100.2)
print(result)   # result = 101

result = round(100.2)
print(result)   # result = 100

result = log(100)
print(result)   #4.605170185988092

result = max(close,open)
plot(result)

result = min(close,open)
plot(result)

result = avg(close,open)
plot(result)

# get number of bars since last green bar
barssince(close >= open)

leftBars = input(2,type="int")
rightBars=input(2,type="int")
ph = pivothigh(high,leftBars, rightBars)
plot(ph, style="cross", linewidth=3, color= "red", offset=-rightBars)

leftBars = input(2,type="int")
rightBars=input(2,type="int")
ph = pivotlow(high,leftBars, rightBars)
plot(ph, style="cross", linewidth=3, color= "red", offset=-rightBars)

(macdLine, signalLine, histLine) = macd(close, 12, 26, 9)
plot(macdLine, color="blue")
plot(signalLine, color="orange")
plot(histLine, color=histLine>0?"green":"red", style="histogram")

plot(stoch(close, high, low, 10))

slow = sma(close, 7)
fast = sma(close, 14)
# get value of close on second cross occurrence
valuewhen(cross(slow, fast), close, 1)

plot(linreg(open , 10, 10))

plot(sar(0.2, 0.2, .2), style="cross", linewidth=3)

plot(atr(14))

def my_atr(length):
    trueRange = na(prev(high,1))? high-low : max(max(high - low, abs(high - prev(close,1))), abs(low - prev(close,1)))
    return rma(trueRange, length)

plot(my_atr(14))

plot(alma(close, 9, 0.85, 6))

# same on alma, but much less efficient
def my_alma(series, windowsize, offset, sigma):
    m = floor(offset * (windowsize - 1))
    s = windowsize / sigma
    norm = 0.0
    sum = 0.0
    for i in range(0,windowsize - 1):
        weight = exp(-1 * ((i - m)** 2) / (2 * (s**2)))
        norm = norm + weight
        sum = sum + prev(series,windowsize - i - 1) * weight
    return sum / norm
plot(my_alma(close, 9, 0.85, 6))

plot(dayofweek(time))

plot(dayofmonth(time))

ema1 = ema(close,20)
ema2 = ema(close, 10)

plot(cross(ema1,ema2)?-1:1, color="red",style="histogram")

ema1 = ema(close,20)
ema2 = ema(close, 10)

plot(crossunder(ema1,ema2)?-1:1, color="red",style="histogram")

ema1 = ema(close,20)
ema2 = ema(close, 10)

plot(crossover(ema1,ema2)?-1:1, color="red",style="histogram")